Andreas Holzinger“Science is to test crazy ideas – Engineering is to put these into Business”

Assoc.Prof.Dr. Andreas HOLZINGER

PhD, MSc, MPh, BEng, CEng, DipEd, MBCS

[andreas_holzinger_cv_3pages] [Personal Research Statement]

Holzinger Group HCI-KDD
Institute for Medical Informatics, Statistics & Documentation
Medical University Graz,  and
Institute for Information Systems & Computer Media
Graz University of Technology

The goal of the Holzinger Group is to design and develop algorithms which can learn from data and improve with experience over time. However, the application of such automatic machine learning (aML) approaches in the complex health domain seems elusive in the near future, and a good example are Gaussian processes, where aML (e.g. standard kernel machines) struggle on function extrapolation problems which are trivial for human learners.

Consequently, interactive ML-approaches, by integrating a human-into-the-loop and making use of human cognitive abilities, seem to be a promising approach. iML-approaches can be of particular interest to solve problems in health informatics, where we are lacking big data sets, deal with complex data and/or rare events, where traditional learning algorithms suffer due to insufficient training samples.

Here the “doctor-in-the-loop” can help, where human expertise and long-term experience can assist in solving problems which otherwise would remain NP-hard. Successful ML for health informatics requires a deep understanding of the data ecosystem and a concerted effort of 7 research topics: 1) data integration, 2) learning algorithms, 3) graphs, 4) topology, 5) entropy, 6) visualization, and 7) privacy, data protection, safety and security.

Consequently, Andreas and his Group work on a synergistic combination of methodologies of two areas that offer ideal conditions towards unraveling such problems: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning to discover novel, previously unknown insights into data. Andreas is passionate on extending advanced methods including time (e.g. information entropy) and space (e.g. computational topology), along with user-centered software engineering to create interactive algorithms and tools for data science. Andreas is founder of the Expert Network HCI-KDD and Assoc. Editor of Knowledge and Information Systems (KAIS) and Brain Informatics (BRIN), and member of IFIP WG 12.9 Computational Intelligence.

Workareas and Research Topics of the Holzinger Group > hci-kdd.org.
We are conducting theoretical, algorithmical, and experimental studies to understand intelligence.
Technical Area: Knowledge Discovery/Data Mining, interactive Machine Learning, Cognitive computing
Application Area: Biomedical Informatics, Smart Health, Personalized Medicine
Subjects (OESTAT classification): 11 = Computational Sciences and 39 = Interdisciplinary Human Medicine

Andreas HOLZINGER short biographical statement:

Andreas Holzinger is lead of the Holzinger Group, HCI-KDD, Institute for Medical Informatics, Statistics and Documentation at the Medical University Graz, and Associate Professor of Applied Computer Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology. Currently, Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch Government, for the German Excellence Initiative and as national expert in the European Commission. His research interests are in supporting human intelligence with machine intelligence to help to solve problems in health informatics. Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and his Habilitation (second Ph.D.) in Computer Science from Graz University of Technology in 2003. Andreas was Visiting Professor in Berlin, Innsbruck, London (2 times), and Aachen. He founded the Expert Network HCI-KDD to foster a synergistic combination of methodologies of two areas that offer ideal conditions toward unraveling problems in understanding intelligence: Human-Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning. Andreas is Associate Editor of Knowledge and Information Systems (KAIS), Section Editor of BMC Medical Informatics and Decision Making (MIDM), and member of IFIP WG 12.9 Computational Intelligence. Since 2003 Andreas has participated in leading positions in 30+ R&D multi-national projects, budget 4+ MEUR, 300+ publications, 7300+ citations, h-Index = 38.

More information see Holzinger Group http://hci-kdd.org/